Genetic and Diagnostic Biomarker Development in ASD Toddlers Using Resting State Functional MRI

Abstract

Resting state fMRI and analyses of intrinsic functional networks are powerful tools for characterizing functional networks in pediatric and clinical populations. In control infants and toddlers who are scanned during natural sleep, fMRI has been used to characterize the typical development of intrinsic functional networks during resting states. Autism spectrum disorder (ASD) begins prenatal, and early maldevelopment is present in many sites and systems that mediate intrinsic network function. These networks have been little studied in ASD infants and toddlers. Our project appears to be among the first to do so. In this project N=96 ASD and typical infants and toddlers were studied; analyses of intrinsic networks provided evidence of significant and widespread disruptions in functional networks in ASD that are crucial for social, communication, cognitive, attention and salience functions. These are among the first-ever studies of the intrinsic connectivity patterns in infants and toddlers with ASD at the age of first clinical identification. The knowledge provided by our studies in combination with those of Co-PIs Dr. Fox and Dr. Glahn could open new avenues of basic genomic and animal model research that elucidate the biological bases of aberrant intrinsic network development in ASD and may identify early diagnostic, prognostic and treatment-responsiveness biomarkers of ASD.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2017
Accession Number
AD1043302

Entities

People

  • Eric Courchesne

Organizations

  • University of California, San Diego

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Autism
  • Biological Markers
  • Brain
  • Cells
  • Data Analysis
  • Department Of Defense
  • Detection
  • Diseases And Disorders
  • Identification
  • Information Science
  • Language
  • Neuroimaging
  • Spectra
  • Statistical Analysis
  • Statistics
  • Stem Cells

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Neuroscience

Technology Areas

  • Biotechnology